Predicting stock returns by number of company mentions in tweets

dc.contributor	Aalto University	en
dc.contributor	Aalto-yliopisto	fi
dc.contributor.advisor	Lof, Matthijs
dc.contributor.author	Päivärinta, Kimi
dc.contributor.department	Rahoituksen laitos	fi
dc.contributor.school	Kauppakorkeakoulu	fi
dc.contributor.school	School of Business	en
dc.date.accessioned	2018-03-28T12:45:32Z
dc.date.available	2018-03-28T12:45:32Z
dc.date.issued	2017
dc.description.abstract	This study attempts to establish whether return or magnitude of return can be predicted by how many tweets mention a company by either its name or stock symbol. The sample data consists of 365 million tweets of which 706,700 mention a S&P 500 company between June 1st, 2016 and June 30th, 2017. It was found that tweets which mention a company by its stock symbol while stock markets are open have a positive impact on its return between 0 to 1%. No evidence was found of number of tweets holding a predictive value of the magnitude of return.	en
dc.format.extent	31
dc.format.mimetype	application/pdf	en
dc.identifier.uri	https://aaltodoc.aalto.fi/handle/123456789/30431
dc.identifier.urn	URN:NBN:fi:aalto-201803281898
dc.language.iso	en	en
dc.programme	Rahoitus	fi
dc.subject.keyword	Twitter	en
dc.subject.keyword	tweet	en
dc.subject.keyword	predicting	en
dc.subject.keyword	big data	en
dc.title	Predicting stock returns by number of company mentions in tweets	en
dc.type	G1 Kandidaatintyö	fi
dc.type.ontasot	Bachelor's thesis	en
dc.type.ontasot	Kandidaatintyö	fi

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